code: def default_processor(self):
      # TODO use from_pretrained here
      feature_extractor = MarkupLMFeatureExtractor()
      tokenizer = MarkupLMTokenizer.from_pretrained(
          "microsoft/markuplm-base"
      )
  
      return MarkupLMProcessor(feature_extractor, tokenizer)
  
imports: import unittest
  from transformers import MarkupLMConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from transformers import MarkupLMFeatureExtractor, MarkupLMProcessor, MarkupLMTokenizer
label_desc: Use image node_id 1 for calling the MarkupLMModelIntegrationTest obj's underlying member method code with example usage: obj.default_processor() and returns: MarkupLMProcessor